At a Glance
- Tasks: Transform data into actionable insights to enhance efficiency and customer experience.
- Company: Join a dynamic team at OnBuy, where your voice matters.
- Benefits: Enjoy company equity, 25 days leave, and career development opportunities.
- Why this job: Make a real impact in a fast-paced, evolving environment.
- Qualifications: Degree in a relevant field and 1-2 years of analytics experience required.
- Other info: Remote work options available; thrive in a supportive, collaborative culture.
The predicted salary is between 30000 - 45000 £ per year.
Working at OnBuy, we are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy, you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. You must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving.
At OnBuy, you are not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard. We are a close team, who have the opportunity to learn and grow as OnBuy evolves.
As our Operations Data Analyst, you will help drive efficiency, reliability, and customer experience across OnBuy. You’ll work closely with Sales, Seller, and Product teams to turn data into actionable insight, monitor performance against key SLAs, identify bottlenecks and root causes, and influence day-to-day and strategic operational decisions at pace.
Key Responsibilities:- Partner with the Sales team to support the acquisition and onboarding of new sellers, identifying gaps in assortment and tracking early seller performance to inform commercial and operational decisions.
- Work closely with the Seller team to improve seller retention and engagement, using data to diagnose performance issues, highlight optimisation opportunities, and maximise seller value to OnBuy.
- Collaborate with the Customer Support team to understand customer pain points, identifying friction across key journeys that drive complaints, escalations, or poor service outcomes.
- Own and develop operational dashboards and self-serve reporting, ensuring teams have timely, trusted insight that is actively used to manage day-to-day performance.
- Conduct deep-dive and root-cause analysis into operational issues, translating findings into clear, actionable recommendations.
- Proactively monitor operational performance and risks, surfacing issues early and helping teams prioritise where to act.
- Communicate insights clearly and confidently to both technical and non-technical stakeholders, influencing prioritisation, process change, and decision-making.
- Collaborate closely with the wider Analytics team and Data Engineers to share best practice, improve data foundations, and contribute to the broader analytics strategy.
- Degree in Mathematics, Statistics, Computer Science, Economics, or a related analytical field.
- 1–2 years’ experience in an analytics, reporting, or data analyst role, ideally supporting operational teams.
- Strong SQL capability, including complex joins, CTEs, and window functions, with the ability to extract insight from large, imperfect, multi-source datasets.
- Proven ability to partner closely with stakeholders, translating operational needs into clear, actionable analysis that supports strategic and day-to-day decision-making.
- Comfortable operating in a high-demand environment, managing competing priorities and taking ownership of business-critical operational reporting.
- Ability to document metrics, definitions, and data sources to support shared understanding and self-serve analytics.
- Experience using Looker Studio or a comparable BI tool to build, maintain, and improve dashboards and self-serve reporting.
- Excellent attention to detail, with a strong focus on data quality, accuracy, and consistency.
- An interest in building scalable, repeatable reporting rather than one-off analysis.
- Basic working knowledge of Python or another scripting language for analysis or automation.
- Experience with dbt or similar transformation tools.
- Familiarity with Git or version control best practices.
- Knowledge of Google Analytics or other digital analytics platforms.
The salary on offer for this role is £35,000- £45,000 per annum depending on experience.
Benefits:- Company Equity - In return for helping us to grow, we’ll offer you company equity, meaning you own a piece of this business we are all working so hard to build.
- 25 days annual leave + Bank Holidays
- 1 extra day off for your Birthday
- Employee Assistance Programme
- Perks at Work benefit platform
- Opportunities for career development and progression
This role is UK remote or if you prefer coming into the office can be Hybrid if you live near our Manchester or Bournemouth's offices.
OnBuy is an equal opportunities employer. We are dedicated to creating a fair and transparent workforce, starting with a recruitment process that does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
Operations Data Analyst in Manchester employer: OnBuy
Contact Detail:
OnBuy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at OnBuy on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by diving deep into OnBuy's operations. Understand their key metrics and think about how your skills can help improve efficiency and customer experience. Show them you’re ready to roll up your sleeves!
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex data insights in simple terms. You’ll need to communicate effectively with both technical and non-technical folks, so make sure you can translate your findings clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the OnBuy team. Let’s get you that interview!
We think you need these skills to ace Operations Data Analyst in Manchester
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through! We want to see how excited you are about the opportunity to make a difference at OnBuy. Share why you’re drawn to the Operations Data Analyst position and how you can contribute to our team.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your relevant experience in analytics and data management, especially any work that aligns with operational efficiency. We love seeing how your skills match what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experiences and achievements. We appreciate candidates who can communicate effectively, especially when it comes to complex data insights.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at OnBuy!
How to prepare for a job interview at OnBuy
✨Know Your Data Inside Out
As an Operations Data Analyst, you'll be working with complex datasets. Make sure you brush up on your SQL skills and understand how to extract insights from large, imperfect data. Be prepared to discuss specific examples of how you've used data to drive decisions in previous roles.
✨Showcase Your Problem-Solving Skills
OnBuy values the ability to identify bottlenecks and root causes. Think of a time when you conducted a deep-dive analysis into an operational issue. Be ready to explain your thought process and how your recommendations led to actionable changes.
✨Communicate Clearly and Confidently
You'll need to communicate insights to both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms. Use examples from your past experiences where you successfully influenced decision-making through clear communication.
✨Embrace Change and Adaptability
Working at OnBuy means thriving in an ever-changing environment. Prepare to discuss how you've managed competing priorities in high-demand situations. Highlight your ability to adapt quickly and take ownership of your responsibilities to get things done.